柬埔寨与巴布亚新几内亚对比

柬埔寨与巴布亚新几内亚:热带夜

2014 年热带夜:柬埔寨为 337.4 夜,巴布亚新几内亚为 250 夜(CMIP6 气候模型中位数模拟)。 2014 年柬埔寨的数值较高,高出 87.4 夜,是巴布亚新几内亚的 1.35 倍。

每年夜数 · CMIP6

柬埔寨与巴布亚新几内亚:热带夜2014 年热带夜:柬埔寨为 337.4 夜,巴布亚新几内亚为 250 夜(CMIP6 气候模型中位数模拟)。 2014 年柬埔寨的数值较高,高出 87.4 夜,是巴布亚新几内亚的 1.35 倍。
柬埔寨巴布亚新几内亚CMIP6 模型中位数(SSP2-4.5,中间路径)模型第 10–90 百分位

数据解读

  • 自 1950 年以来,在两国都有数据的每一年,柬埔寨的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年柬埔寨为 357.6 夜,巴布亚新几内亚为 276.3 夜。

逐年数据

每年夜数 · CMIP6

年份柬埔寨巴布亚新几内亚
2014337.4250
2013342.5250.3
2012340.1248.7
2011338.3247
2010338.2249.1
2009339.2247.8
2008334.9246.9
2007336.1246.6
2006336247
2005334247.2
2004338.1247
2003332.9245.9
2002333.3245.6
2001337.1246.5
2000335.9245.9
1999335.1244.8
1998334.8243.9
1997336.8243
1996330.5241.9
1995328.7241.6
1994334.3239.6
1993329.9236.8
1992321.5235
1991328.1242.1
1990333.3242.7
1989330.3240.3
1988332241.3
1987329.7240.8
1986330.9241.1
1985330.8238.2
1984331.2238.3
1983328.7236
1982329.3239.7
1981331.2239.4
1980329.9239.4
1979330.4238.9
1978327.5237.6
1977331.6238.1
1976329.2235.2
1975328.1237.6
1974326.8236.9
1973331.2238.1
1972327.1236.3
1971327.4236.9
1970327.9234.7
1969327.4235.9
1968327.6235.4
1967323.9234.7
1966326.4235.3
1965329.8233.5
1964327.1232
1963328.6232.3
1962326.2237.1
1961332.3237.7
1960329238.1
1959328.5237.5
1958332.7238.5
1957331.1236.1
1956330236.9
1955326.8237.6
1954329235.9
1953329.6236.5
1952329.2237.1
1951330.9237.2
1950328.6236.6
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份柬埔寨巴布亚新几内亚
2015340323.1–351.2251.6240.9–257.9
2016339.6325.3–352.5250.8241.6–258.7
2017341.9327.4–350.7251.6240–258.6
2018343.5320.1–353.1252240.2–258.8
2019340.8327.2–352.1252.2242–259.7
2020343325.7–352.6253.8242.9–261.3
2021345.2328.4–353253242.7–259.2
2022344.4332.5–353.4254.2242.9–261.3
2023344.7333.7–355.1254243.4–262
2024342.1327.5–352.9256246.5–263.4
2025343.4332.6–351254.9244.4–263.6
2026343.9324.7–353.4255.8245–263.7
2027345.3330.6–354.2255.6245.6–262.9
2028346.5331–356.9256.2246.5–264.2
2029346.5330.1–357.3257.9248.1–265.4
2030346.7332.4–355.4256.8246.2–264.3
2031347.7332.3–356.7256.4246–263.8
2032347.5332.3–354.7258.6247.9–267.7
2033346.5331.7–358.1259.5248.8–266.1
2034348.1335.3–357257.9248.2–265.2
2035347.7330.1–357.7259.4250–270
2036348.2329.7–355.8259.6249.8–268.4
2037347.4334.6–355.4259.4249.3–267.6
2038348.9335.4–357.3261.1251.9–268.7
2039349.3335.7–358.3261.6251.5–268.3
2040348.9339.2–356.6260.6250–271.3
2041349.9337.3–358.1262.1250.9–271.1
2042348.1336.5–357.9261.7251.3–271.2
2043348.4336.5–357.3261.4250.7–270.1
2044348.6337.6–357.8263.5253.3–271.6
2045349.4335.2–360.2263.7252.3–272.6
2046351.3337.9–359.4264251.2–272.4
2047352.1341.4–359.4264.7253.1–274.1
2048351.1338.7–360.6263.6253.4–273.3
2049352.5339.7–360265.6254.3–275.8
2050352.6340.1–359.7266.3254.6–275.6
2051354.4343.2–360.9265254–276.5
2052353.3343.5–359.5266.5255.1–275.9
2053351.8340.5–358.9265.5254.3–277.2
2054352343.5–359.3265.6255–277.3
2055352.8339.5–359.2266.9255.8–278.4
2056353.4339.8–360.9267.6256.1–278.5
2057352.1338.8–359.4267.1254.9–278
2058353.3343–360.6267.4255.2–278.8
2059355341.5–359.7267.5255.8–278.8
2060354344.1–362270.4257.3–280.1
2061355338.3–361268.7257–278.3
2062352.2341.4–361268.3254.5–281.2
2063356344–360.6268.6256.4–281.7
2064354.4341.4–361.7269.5257–281.3
2065352.7343.4–359.8269.1257.2–280.5
2066353.7341.8–360.2270258.8–282.1
2067352.9341.2–360.3270256.7–281.9
2068354.6343.6–361.1271.1256.2–283.4
2069355.6344.7–361.2271.8258.6–282.9
2070355343.5–361.4270.7257–281.1
2071356346.1–361.1273.3258.5–284.9
2072356.6345.8–361.5271.3257.7–282.6
2073357.1347.3–362272.6259.4–284
2074356.1341.9–362.3272.8258.8–285.6
2075354.9340.7–361.9273.1258.5–284.4
2076357.6347.1–362.9272.6258.9–282.9
2077356.7345.6–362.3273.4259.5–285.8
2078355345.5–361.7273.5260.4–284.1
2079356.5347.1–361.5273.1259.6–285.6
2080358347.4–363.9274.1260.6–286.6
2081355.8345.5–362.5274.1260.6–286.9
2082354.6345.1–360.9274.2259.8–283.7
2083355.2345.7–361.7275.7261.4–286.9
2084355.7343.4–361.6275.1261.3–286.7
2085358.4350–362.5275260.2–287.9
2086356.6345.5–361.8275.4262.7–287.1
2087357.5346.7–362.5273.4261–287.5
2088357347.6–362.4276.5262.7–287
2089357.2346.7–361.8275.4261.5–288.4
2090355.7347.6–362.1274.9261.9–288.4
2091357.8345.5–362.6276.8260.9–289.4
2092355.5343.9–362.3276.8262.1–288.4
2093355.6344.4–361.2275.4262.9–290.1
2094359.2347.3–362.9276.9262.2–288.1
2095358.6347.7–362.8277261.9–287.5
2096357.8348.4–363.2276261.9–293
2097356.8346.5–362.4274.9261.5–288.8
2098356.2346.9–362.6276.6261.6–289.1
2099356.8346.4–362.7276.9261.8–290.6
2100357.6347.9–363.1276.3261.4–287.1

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须知

  • 一年中气温始终高于 20 °C 的夜晚数,取全国平均。
  • 来源:World Bank Climate Change Knowledge Portal, CMIP6 multi-model median。
  • 虚线为CMIP6 模型中位数(SSP2-4.5,中间路径),是一种情景而非预报;阴影带为其模型第 10–90 百分位。
  • 气候模型值为 CMIP6 各模型的中位数:2014 年及以前按历史排放模拟,此后按中间路径 SSP2-4.5 模拟;它们并非实测数据。

各图层如何运作、数据从何而来,以及它们无法告诉你什么: 历年各国数据

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